Detail publikačního výsledku

Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

KHAN, M.; HAQUE, A.; KURUKURU, V.

Originální název

Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

Anglický název

Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

Druh

Článek WoS

Originální abstrakt

The increasing photovoltaic (PV) installations and their integration with the utilities have complexed the operation of the power system network making them vulnerable to various faults and abnormalities. The traditional methods developed to handle this problem are aimed to explore the ability of PV inverter to operate in standalone (SA) mode when there are predictable grid side abnormalities or scheduled maintenances. In this article, a grid condition monitoring based transition control approach is developed using machine learning algorithm and a hybrid control strategy. This article is motivated at handling the intentional and unintentional islanding conditions by operating the PV system in both grid-connected (GC) and SA modes. The switching between the controllers is performed by the central controller ensuring a smooth transition and continuous power delivery to the load. For validating the claims, numerical simulations and experimental analysis are carried out with a 4 kWp GC PV system. The results depicted fast grid condition monitoring under 20 ms and smooth transition without any transients or harmonics.

Anglický abstrakt

The increasing photovoltaic (PV) installations and their integration with the utilities have complexed the operation of the power system network making them vulnerable to various faults and abnormalities. The traditional methods developed to handle this problem are aimed to explore the ability of PV inverter to operate in standalone (SA) mode when there are predictable grid side abnormalities or scheduled maintenances. In this article, a grid condition monitoring based transition control approach is developed using machine learning algorithm and a hybrid control strategy. This article is motivated at handling the intentional and unintentional islanding conditions by operating the PV system in both grid-connected (GC) and SA modes. The switching between the controllers is performed by the central controller ensuring a smooth transition and continuous power delivery to the load. For validating the claims, numerical simulations and experimental analysis are carried out with a 4 kWp GC PV system. The results depicted fast grid condition monitoring under 20 ms and smooth transition without any transients or harmonics.

Klíčová slova

Voltage control; Inverters; Batteries; Transient analysis; Neurons; Feature extraction; Frequency control; Grid-connected (GC) mode; grid-connected (GC) photovoltaic (PV) system; standalone (SA) mode; transient control

Klíčová slova v angličtině

Voltage control; Inverters; Batteries; Transient analysis; Neurons; Feature extraction; Frequency control; Grid-connected (GC) mode; grid-connected (GC) photovoltaic (PV) system; standalone (SA) mode; transient control

Autoři

KHAN, M.; HAQUE, A.; KURUKURU, V.

Rok RIV

2022

Vydáno

14.12.2021

Nakladatel

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Místo

PISCATAWAY

ISSN

1939-9367

Periodikum

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Svazek

58

Číslo

2

Stát

Spojené státy americké

Strany od

2332

Strany do

2340

Strany počet

9

URL

https://ieeexplore.ieee.org/document/9650672

BibTex

@article{BUT175434,
  author="Mohammed Ali {Khan} and Ahteshamul {Haque} and V S Bharath {Kurukuru}",
  title="Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter",
  journal="IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS",
  year="2021",
  volume="58",
  number="2",
  pages="2332--2340",
  doi="10.1109/TIA.2021.3135250",
  issn="0093-9994",
  url="https://ieeexplore.ieee.org/document/9650672"
}